Paper Info
Title
Stable Aerial Image Registration For People Detection From A Low-Altitude Aerial Vehicle
Abstract
In this paper, for the purpose of monitoring people moving on the ground from a low-altitude aerial vehicle, we propose a method for stable image stabilization using planar information of the ground. In existing methods the homography-based method has been popularly used for image stabilization. However, in case that captured images consist of non-planar areas, the performance of the homography-based method decreases. The essential-based method works well in this scene, but the accuracy gets worse in case that images mainly include planar areas. Thus in the proposed method, we utilize the Geometric Robust Information Criterion (GRIC) model to choose a method from the homography-based method or the essential-based method. After the selection of the method, we extract a planar area in the scene by fitting a plane using RANSAC, followed by detection of people on the ground with high accuracy. Experimental results confirm that the effectiveness of the proposed method.
Year
Venue
Field
2016
2016 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS (SMC)
Computer vision,RANSAC,Computer science,Image stabilization,Altitude,Aerial image,Homography,Planar,Artificial intelligence,Cybernetics,Homography (computer vision)
DocType
ISSN
Citations 
Conference
1062-922X
0
PageRank 
References 
Authors
0.34
0
3
Name
Order
Citations
PageRank
Yumi Iwashita121223.59
Yuki Takefuji200.34
Ryo Kurazume362274.18